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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Product Discovery Concierge MVP |  Innovation Lean Startup |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | When systems fail unexpectedly, spontaneous attempts often produce more noise than insight. Hypothesis-driven Troubleshooting translates symptoms into testable assumptions and makes troubleshooting learnable. | When an idea can first fail or grow through genuine hands-on support, it relies on manual work instead of automation. It shows whether user value holds up even under manual execution. | For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 30-240 min | 1-4 Wochen | Wochen bis Monate je Lernzyklus | 30-60 min |
Participantsdifferent | 1-6 | 3-10 Kunden | 2-8 | 1-5 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Concierge Learnings, Service Blueprint, MVP Risks | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | Completed Experiment Canvas, Success Metric |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | MVPValidationServiceDiscovery | LeanStartupValidationMVP | ExperimentsValidationDiscoveryHypothesis |